Image Classification
When you want to map ground features (what is corn, what is wetland, what is forest), you can use color multi-spectral satellite images and airphotos to separate feature classes. Standard image classification models work on the spectral components of each ground cover in remotely sensed imagery. Some methods are completely automatic; others take advantage of your ability to identify known ground cover in sample locations.
unsupervised classification
class / distance rasters
masking processing area
Fuzzy C Means
maximum likelihood
minimum distance
using ground truth
K Means
co-occurrence analysis
ISODATA classification
classification dendrograms
stepwise linear
